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TOFAS gains from a comprehensive HPC solution in the R&D area

"Fujitsu was most knowledgeable about High Performance Computing systems, providing all the information we needed to get started quickly, and with fast response time. Fujitsu took the time to analyze our business needs to provide a system design which is scalable for the future and will help us stay competitive."

Hakan Korkmaz, Information and Communication Technologies Director, Tofaş

The customer

Tofaş is Turkey’s largest automotive manufacturer and produces over 400,000 vehicles per year for brands including Fiat, Citroën, Peugeot, Opel and Vauxhall. The company achieved accolades from the World Class Manufacturing organization for its factory in Bursa, whose infrastructure can compete internationally in the field of vehicle development. Tofaş’ R&D center tests vehicle concepts and elements such as style, interior design, suspension and engine configuration.

The challenge

Tofaş needed a High Performance Computing (HPC) platform to carry out the increasingly complex algorithms that help it to design the kinds of vehicle that people want to purchase.

The solution

Following a comprehensive benchmarking process, the company selected a Fujitsu HPC cluster solution comprising FUJITSU PRIMECENTER, PRIMERGY and ETERNUS systems plus consultancy and services.

The benefit

  • The Tofaş R&D team can expand the system to meet future needs and to make increasingly complex analyses of different kinds of vehicle models to stay ahead in a competitive market.
  • The HPC platform improves operating efficiency because Fujitsu’s HPC cluster solution works hand-in-hand with Tofaş’ optimized design, tooling and engineering in R&D.
  • Fujitsu’s HPC cluster solution will provide Tofaş with a competitive edge in a demanding marketplace, and in doing so will make a key contribution to the Turkish economy.
  • The end-to-end, turn-key design of the HPC cluster solution enables easy installation and use by the Tofaş R&D team.

Pobierz

Read the full Tofas case study (186 KB/A4, 2 pages)